Prasan Ratnayake’s Post

In this article, we discuss one such framework known as retrieval augmented generation (RAG) along with some tools and a framework called LangChain. Check it out! #SingleStore

In this article, we discuss one such framework known as retrieval augmented generation (RAG) along with some tools and a framework called LangChain. Check it out! #SingleStore

We can use the langchain summary to generate the questions and answers from the given document. https://lnkd.in/gRqgT6RG

An interesting tutorial regarding how to implement a GraphRAG system with LangChain. https://lnkd.in/dCMAu7cA

https://lnkd.in/eqP_rfCs LangChain vs LangGraph: A Tale of Two Frameworks

If you are looking for a great intro into LangChain, I can recommend you this article by Thirunavukkarasu. Agents are going to be the next big topic in 2025, so get ready to deep dive into libraries like LangChain, LangGraph & Co. https://lnkd.in/ec85KihC

I’m thrilled to share my latest blog, “Some of the Useful Functionality Provided by Langchain”! 🎉 In this post, I dive into the functionalities of LangChain that I find most valuable, complete with practical code snippets. From reusing prompts to real-time responses, I’ve explored features that can truly enhance your Langchain experience. I’d love to hear your thoughts and feedback! If you’ve come across any other Langchain features that you find incredibly useful, please share them in the comments. Let’s learn and grow together! 🚀 #Langchain #LangchainAgents #LangchainChain #LLMApplication #LLM #LLMProduct #OpenAI #StructuredOutput #StreamingResponse #Batching

I am removing LangChain in most of my projects! The initial documentation was not so bad, now they made it very complicated to know what you can do and how to do it. Even when you find what you need there is a 50:50 chance it's outdated or what is exposed does not work. There are too many kwargs and you never know what you can pass in as arguments. What about you? Still using it?

Exploring some LangChain to deepen my understanding of chained agents and their potential in dynamic workflows that can help with zero load experiences. Experiences that unload, instead of overload you.